From 66768fe009e166d573b5a4c337f30a254ca69f1a Mon Sep 17 00:00:00 2001 From: Luca Martial <48870843+luca-martial@users.noreply.github.com> Date: Thu, 2 Jul 2026 22:07:22 -0700 Subject: [PATCH] docs: reflect recently added connectors in ingestion diagram and README (#333) * docs(diagram): show recently added connectors in ingestion flow Add Amazon Athena and MongoDB (plus a "& more" chip), Sigma, and Google Drive to the ingestion diagram source cards so it reflects the current connector set. Trim the Databases card body to one line so the added chips fit the fixed-height card without clipping. Co-Authored-By: Claude Opus 4.8 * docs(readme): list newly added connectors in the "Works with" summary Include DuckDB, Amazon Athena, MongoDB, Sigma, and Google Drive so the README matches the integrations reference pages. Co-Authored-By: Claude Opus 4.8 --------- Co-authored-by: Claude Opus 4.8 --- README.md | 5 +++-- docs-site/components/product-mechanics.tsx | 8 ++++---- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 3f704f04..618e9c81 100644 --- a/README.md +++ b/README.md @@ -103,8 +103,9 @@ upkeep and don't absorb the rest of your company's knowledge. - You don't have a SQL warehouse - **ktx** sits on top of one - You only need one ad-hoc query - `psql` or a notebook will do -Works with PostgreSQL, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, and -SQLite. Integrates with dbt, MetricFlow, LookML, Looker, Metabase, and Notion. +Works with PostgreSQL, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, +SQLite, DuckDB, Amazon Athena, and MongoDB. Integrates with dbt, MetricFlow, +LookML, Looker, Metabase, Sigma, Notion, and Google Drive. ## Quick Start diff --git a/docs-site/components/product-mechanics.tsx b/docs-site/components/product-mechanics.tsx index 642e1107..55c10272 100644 --- a/docs-site/components/product-mechanics.tsx +++ b/docs-site/components/product-mechanics.tsx @@ -68,14 +68,14 @@ const EDGE_STROKE = "#94a3b8"; const sourceData: SourceNodeData[] = [ { title: "Databases", - body: "Schemas, columns, keys, row counts, and query history.", - items: ["PostgreSQL", "Snowflake", "BigQuery", "SQLite"], + body: "Schemas, keys, row counts, query history.", + items: ["PostgreSQL", "Snowflake", "BigQuery", "Athena", "MongoDB", "& more"], accent: "#3b82f6", }, { title: "BI tools", body: "Dashboards, questions, explores, usage, and trusted examples.", - items: ["Metabase", "Looker"], + items: ["Metabase", "Looker", "Sigma"], accent: "#f97316", }, { @@ -87,7 +87,7 @@ const sourceData: SourceNodeData[] = [ { title: "Docs and notes", body: "Policies, caveats, team definitions, and analyst context.", - items: ["Notion", "Any text"], + items: ["Notion", "Google Drive", "Any text"], accent: "#10b981", }, ];